BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260808T230046Z UID:ee9b0b12-85b4-4f97-b964-163211f301ad DTSTART:20171114T090000Z DTEND:20171114T000000Z DESCRIPTION:\nThe implementation of cancer genomics into the clinic is beco ming a reality. Personalized medicine or Precision medicine as other autho rs refers\, uses molecular data of a specific patient to guide clinical de cisions such as prevention\, diagnosis and treatment. This will revolution ize healthcare and will play a dominant role in the future of cancer thera py. Bioinformatics analyses are essential to identify patients who will be nefit from treatment based on their molecular profile\, and to tailor chem otherapeutic regimens accordingly.\n\nThe aim of the course is to present a complete computational pipeline for the analysis and interpretation of N ext-Generation Sequencing (NGS) data such as exome sequencing or targeted panels that are commonly used in the clinic.\n\nWe will address the implem entation of large-scale genomic sequencing in clinical practice and the re cently developed computational strategies for the analysis of NGS data wit h a particular emphasis on the interpretation of the results\, selection o f biomarkers of drug response and afford opportunities to match therapies with the characteristics of the individual patient's tumour. \n\nExercise s and case studies focused on cancer will be used to illustrate the princi ples of how genetics influence led to refining diagnoses and personalized treatment of cancer disease.\nTarget Audience:\nThis course is intended fo r working healthcare professionals and Bioinformaticians working in the ar ea.\nCourse Pre-Requisites:\nThe course assumes that attendees are not int imidated by the prospect of gaining experience working on UNIX-like operat ing systems (including the shell\, and shell scripting). Attendees should understand some of the science behind high-throughput DNA sequencing and s equence analysis\, as we will not go deeply into underlying theory (or the mechanics of given algorithms\, for example) as such. What will be taught are technical solutions for automating and sharing such analyses in reusa ble compute environments\, which will include (but is not limited to) begi nner-level programming\, and basic Linux provisioning. General computer li teracy\, (e.g. editing plain text data files\, navigating using the comman d line) will be assumed. (*) \n(*) Note: An optional free session will b e arranged with the participants that may be interested\, on the EVE of th e first day (Monday\, Nov 13th at 4PM)\, where we will ensure that every p articipant willing to attend can use the Linux operating system at the req uired level.\nInstructors:​\n           \nFátima Al-Shahrour obt ained her PhD from Universidad Autónoma de Madrid (UAM) in 2006. During h er PhD she worked at the Bioinformatics Unit at Spanish National Cancer Re search Center (CNIO\, Madrid\, Spain) and Centro de Investigaciones Prínc ipe Valencia (Valencia\, Spain). During this period\, her research work de alt with the development of new Bioinformatics tools for microarray gene e xpression analysis\, with a particular focus on computational methods for the functional interpretation of high-throughput experiments. In 2007\, sh e joined the Computational Biology and Bioinformatics group at Cancer Prog ram at Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard (Cambridge\, USA). In 2008\, she got a staff position at Broad Ins titute of MIT and Harvard as a Computational Biologist. During this period \, her research was focused on the study the biology and treatment of canc er under a genomic perspective using hematopoiesis as a model system. In 2 012 she joined the Spanish National Cancer Research Centre (CNIO) to lead the Translational Bioinformatics Unit (TBU) in the Clinical Research Progr amme and since 2017 she is leading the Bioinformatics Unit (BU).\n --\n Th e CNIO Bioinformatics Unit (BU) belongs to the Structural and Biocomputing Programme. This is a group with a large trajectory in bioinformatics for functional genomics\, field in which the group has published numerous pape rs as well as developed distinct applications and programs widely used by the scientific community. BU's major research activity is focused on the d evelopment of new computational methodologies to perform genomic analysis of cancer patients' data\, in order to identify new biomarkers and mechani sms of drug response. The main goal is to translate this knowledge into ef fective treatments for cancer patients. Since 2013\, we extensively collab orate with hospitals to analyze next-generation sequencing data from patie nt's tumors. During this period\, we have applied our analytical pipeline for the categorization and interpretation of patient's tumors and match th em to effective drugs or treatments based on their genomic alterations.\n            Affiliation: Centro Nacional de Investigaciones Oncológ icas\, Madrid\, ES\nJavier Perales is a PhD student working under the sup ervision of Fátima Al-Shahrour &\; Alfonso Valencia\, at the Spanish N ational Cancer Research Centre. During his education\, he has acquired kno wledge in Molecular Biology\, Genetics and Computational Biology. His rese arch activity is focused on the genomic characterization of patient tumour s by Next-Generation Sequencing technologies. He is interested on the deve lopment and integration of computational approaches for cancer genomics da ta in order to improve our understanding about the individual patient's di sease.\n           Affiliation: Centro Nacional de Investigaciones Oncológicas\, Madrid\, ES\nElena Piñeiro is a Bioinformatician working in the Bioinformatics Unit of the CNIO. Her work is mainly focused on the elaboration of pipelines for the analysis and prioritization of genomic va riations obtained through NGS technologies and on the construction of a me thodology for the personalized drug assignation according to the particula r genomic profile of each patient.\n           Affiliation: Centro Nacional de Investigaciones Oncológicas\, Madrid\, ES\n \nProgram:\nYou can find here the detailed program.\n \nRegistration: \nRegister using h ere until October the 18th\n \nContact: For any questions about this co urse\, please contact Pedro Fernandes (e-mail address below) LOCATION:Instituto Gulbenkian de Ciência SUMMARY:PM17 - Precision Medicine URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/PM17/ END:VEVENT END:VCALENDAR